Model Jaringan Distribusi Multi Eselon Untuk Produk Multi Item PT. Gold Coin Surabaya

Sulistyowati, Heni (2010) Model Jaringan Distribusi Multi Eselon Untuk Produk Multi Item PT. Gold Coin Surabaya. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Konfigurasi jaringan distribusi dalam supply chain
mengatur tentang alokasi jumlah dan lokasi supplier, fasilitas
produksi, pusat distribusi, gudang dan pelanggan. Konfigurasi
jaringan distribusi ini diharapkan dapat mencapai optimasi biaya
atau minimasi biaya. Dalam Penelitian Tugas Akhir ini,
implementasi model jaringan distribusi multi eselon untuk produk
multi item yang akan disesuaikan dengan kondisi pada
perusahaan PT GOLD COIN Surabaya. Metode yang digunakan
oleh penulis dalam Tugas Akhir ini adalah Mixed Integer Linear
Programming (MILP) dengan software LINGO. Perusahaan ini
berencana untuk membuka beberapa gudang baru. Dengan
implementasi model ini, perusahaan dapat menentukan gudang
mana yang optimal untuk dibuka, alokasi produk untuk masingmasing
gudang yang dibuka. Langkah selanjutnya adalah
melakukan analisa sensitivitas terhadap hasil konfigurasi tersebut.
analisa sensitivitas dilakukan untuk mengetahui sampai kapan
kebijakan ini berlangsung.
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Distribution network configuration in a supply chain
regulates the allocation of the number and location of suppliers,
production facilities, distribution centers, warehouses and
customers. This distribution network configuration is expected to
achieve optimization of cost or cost minimization. In this final
project the implementation of multi-echelon distribution network
design for multi-product products will be adjusted to the
conditions at company PT GOLD COIN Surabaya. The method
which is the writer used in the Final Project is an Mixed Integer
Linear Programming (MILP) using Lingo software. This
company plans to open several new warehouses. By implementing
this model, companies can determine where the optimal
warehouse to be opened, the product allocation for each
warehouse which was opened. The next step is to conduct
sensitivity analysis on the results of these configurations.
sensitivity analysis conducted to determine how long this policy is
ongoing.

Item Type: Thesis (Undergraduate)
Additional Information: RSI 658.84 Sul m
Uncontrolled Keywords: Distribusi, LINGO, Mixed Integer Linier Programming, dan Supply chain.
Subjects: T Technology > T Technology (General) > T57.6 Operations research--Mathematics. Goal programming
Divisions: Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: ansi aflacha
Date Deposited: 14 Feb 2020 03:13
Last Modified: 14 Feb 2020 03:13
URI: http://repository.its.ac.id/id/eprint/74898

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